Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Allison H. Baker"'
Publikováno v:
Journal of Agricultural, Biological and Environmental Statistics. 28:324-344
Publikováno v:
Journal of Agricultural, Biological and Environmental Statistics.
Autor:
Bolan Gan, Jingjie Yu, Lixin Wu, Gokhan Danabasoglu, R Justin Small, Allison H Baker, Fan Jia, Zhao Jing, Xiaohui Ma, Haiyuan Yang, Zhaohui Chen
Publikováno v:
National Science Review.
The North Atlantic Ocean hosts the largest volume of global subtropical mode waters (STMWs), serving as heat, carbon, and oxygen silos in the ocean interior. STMWs are formed in the Gulf Stream region where thermal fronts are pervasive with strong fe
Publikováno v:
2022 IEEE/ACM 8th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD).
Autor:
Dorit Hammerling, Ian Briggs, Gregory L. Lee, Michael Bentley, Mariana Vertenstein, Allison H. Baker, Ignacio Laguna, Daniel J. Milroy, Ganesh Gopalakrishnan, Dong H. Ahn
Publikováno v:
Communications of the ACM. 64:66-74
An approach to reproducibility problems related to porting software across machines and compilers.
Climate models such as the Community Earth System Model (CESM) typically produce enormous amounts of output data, and storage capacities have not increased as rapidly as processor speeds over the years. As a result, the cost of storing huge data volu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73d597c166ab294d48f3ce7743e73b55
https://doi.org/10.5194/egusphere-egu22-8762
https://doi.org/10.5194/egusphere-egu22-8762
Publikováno v:
Computer Graphics Forum. 38:517-528
Autor:
Dorit Hammerling, Allison H. Baker
Publikováno v:
Nature Computational Science. 1:711-712
Compressing scientific data is essential to save on storage space, but doing so effectively while ensuring that the conclusions from the data are not affected remains a challenging task. A recent paper proposes a new method to identify numerical nois
Publikováno v:
IEEE BigData
Output data from modern Earth system model simulations are consuming increasingly massive amounts of storage resources, and storing these climate model data is not economically sustainable. Previous works have motivated lossy compression as a potenti
Autor:
Kai Xu, Yangyang Yu, Yang Tu, Shaoqing Zhang, Guanghui Zhu, Zhao Liu, Hongsong Meng, Ying Guo, Xiaohui Duan, Yuxuan Li, Zhiqiang Wei, Lanning Wang, Sihai Wu, Weiguo Liu, Man Yuan, Lixin Wu, Wei Xue, Allison H. Baker, Mingkui Li, Yuhu Cheng, Gokhan Danabasoglu, Nan Rosenbloom, Ping Xu, Jie Zhang, Zedong Liu, Qiuying Zhang, Haining Yu, Guangwen Yang, Dongning Jia, Guo Qiang, Haohuan Fu, Wubing Wan, Yunhui Zeng, Hong Wang, Stephen Yeager, Ping Chang, Li Wang, Lin Gan, Shiming Xu, Jim Edwards, Yuan Zhuang, Jianlin Yong, Jingshan Pan, Shupeng Shi
With the semi-conductor technology gradually approaching its physical and heat limits, recent supercomputers have adopted major architectural changes to continue increasing the performance through more power-efficient heterogeneous many-core systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9729f74b3987276deabcc5c29433bf0
https://www.geosci-model-dev-discuss.net/gmd-2020-18/
https://www.geosci-model-dev-discuss.net/gmd-2020-18/